Data Analysis and Big Data as Business Development Tools (3 cr)
Code: C-02630-NN00HC13-3001
General information
- Enrollment
-
15.03.2024 - 30.06.2024
Registration for the implementation has ended.
- Timing
-
06.05.2024 - 31.07.2024
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Blended learning
- Institution
- Tampere University of Applied Sciences, TAMK Pääkampus
- Teaching languages
- Finnish
- Seats
- 0 - 15
- Course
- C-02630-NN00HC13
Evaluation scale
Pass/Fail
Objective
After completing the course, the student understands the importance of data and its analysis for business. The course introduces students to the most important statistical methods using the Python programming language and introduces them to Big Data as a concept, the internet data sources that produce it, and its analysis in the form of visualization and text analysis.
Content
1. Data analytics, business analytics, statistics, statistics, probability, risk 2. Application of statistical methods and production of graphs in the Python programming language 3. Familiarity with Big Data and the sources of information that produce it 4. Familiarity with Big Data analysis; visualization, text analysis
Location and time
Summer implementation, in network.
Materials
All in Moodle platform.
Teaching methods
Virtual implementation on the TUNI Moodle learning platform, https://moodle.tuni.fi. Includes learning material, program examples, analysis examples, exercises, instructional videos, and two webinars.
Employer connections
N/A
Exam schedules
N/A
Pedagogic approaches and sustainable development
N/A
Completion alternatives
N/A
Student workload
80 h of student's work.
Evaluation methods and criteria
Fail: Score less than 60% of maximum. Pass: Score at least 60% of maximum.
Qualifications
Basics of programming